The impact of shift work on sleep and mental health – a review of the literature and a look ahead

Author(s):  
Meta Lavrič ◽  
Vita Štukovnik

Providing continuous coverage of key services, shift work is a necessity of the modern world. It varies according to the number and length of the shifts and according to scheduling patterns. However, it is common to all forms that they ensure the smooth running of a particular service with the 24-hour presence of staff. This means that working time partly or completely overlaps with night sleep, causing an imbalance between circadian rhythms and the requirements of the environment. Aforesaid imbalance has a negative effect on sleep and can lead to sleep disorders, which in turn cause mental health problems. In addition, the development of unhealthy behaviours developed by shift workers to manage their working hours (especially night work) and the inconsistency of their working hours with those of the general population also lead to poorer mental health, lower quality of social life and family conflicts. However, since shift work cannot be completely eliminated, it is necessary to consider designing the measures to reduce the negative impact of shift work on the mental health and well-being of workers, both at the individual level, as well as at the level of working organisations. Some of the key measures are presented in the article.

2005 ◽  
Vol 46 (3) ◽  
pp. 289-305 ◽  
Author(s):  
Liam Downey ◽  
Marieke Van Willigen

A growing literature examines whether the poor, the working class, and people of color are disproportionately likely to live in environmentally hazardous neighborhoods. This literature assumes that environmental characteristics such as industrial pollution and hazardous waste are detrimental to human health, an assumption that has not been well tested. Drawing upon the sociology of mental health and environmental inequality studies, we ask whether industrial activity has an impact on psychological well-being. We link individual-level survey data with data from the U.S. Census and the Toxic Release Inventory and find that residential proximity to industrial activity has a negative impact on mental health. This impact is both direct and mediated by individuals' perceptions of neighborhood disorder and personal powerlessness, and the impact is greater for minorities and the poor than it is for whites and wealthier individuals. These results suggest that public health officials need to take seriously the mental health impacts of living near industrial facilities.


2021 ◽  
Vol 9 (E) ◽  
pp. 1553-1559
Author(s):  
I. D. Al-Hasani ◽  
H. S. Salih ◽  
A. T. Abdul Wahid ◽  
Mohammed Jabarah

BACKGROUND: Mental health problems are reflected and linked to human behavior in many aspects. Medical students are susceptible to a wide variety of events that compromise their mental well-being, social life as well as their academic achievements. AIM: This study aimed to find the impact of social support on medical students’ behavior in Iraq via assessing their depression, anxiety, and stress status. METHODS: A cross-sectional online survey-based study targeted all medical students in Iraq. The employed questionnaires covered mental health status of participants by evaluating their perceptions of depression, anxiety, and stress using. Data were analyzed using the Statistical Analysis System. RESULTS: The study revealed a significant influence of social support on students’ perceptions of depression and anxiety, but not of their perception of stress. CONCLUSION: Lending social support to medical student is crucial to improve their depression and anxiety with all the positive results that the support brings to their behavior and social life. However, they need more than the social support to keep them safe from academic and daily life stressors.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Danna Oomen ◽  
Annabel D. Nijhof ◽  
Jan R. Wiersema

Abstract Background Previous studies have reported a negative psychological and mental health impact of the COVID-19 pandemic. This impact is likely to be stronger for people with autism as they are at heightened risk of mental health problems and because the pandemic directly affects social functioning and everyday routines. We therefore examined COVID-19 pandemic-related changes in mental health, the impact of the pandemic on their social life and routines, satisfaction with pandemic-related information and tips, and participants’ wishes for guidance. Methods We used a mixed-method approach, collecting quantitative and qualitative survey data from adults with and without autism across three European countries: Belgium, the Netherlands, and the UK (N = 1044). Results We found an increase in depression and anxiety symptoms in response to the pandemic for both the non-autism and the autism group, which was greater for adults with autism. Furthermore, adults with autism showed a greater increase in worries about their pets, work, getting medication and food, and their own safety/security. They felt more relieved from social stress, yet experienced the loss of social contact as difficult. Adults with autism also felt more stressed about the loss of routines. Pleasant changes noted by adults with autism were the increase in solidarity and reduced sensory and social overload. Adults with autism frequently reported problems with cancellation of guidance due to the pandemic and expressed their wish for (more) autism-specific information and advice. Limitations Our sample is likely to reflect some degree of selection bias, and longitudinal studies are needed to determine long-term effects. Conclusions Results highlight the psychological burden of the pandemic on adults with autism and shed light on how to support them during this COVID-19 pandemic, which is especially important now that the pandemic is likely to have a prolonged course. There is a need for accessible, affordable (continued) support from health services. Guidance may focus on the maintenance of a social network, and adjusting routines to the rapid ongoing changes. Finally, we may learn from the COVID-19 pandemic-related changes experienced as pleasant by adults with autism to build a more autism-friendly society post-pandemic.


Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Yan Xu ◽  
Wantian Cui

BACKGROUND: China’s atmospheric PM2.5 pollution is serious, and PM2.5 exerts a negative impact on the human respiratory system, cardiovascular, and mental health, and even more serious health risk for the elderly with weak immunity. OBJECTIVE: This work aims to analyse the impacts of PM2.5 microenvironment exposure on the health of the elderly and provide corresponding countermeasures. METHODS: The survey subjects are 118 retired elderly people in the community. PM2.5 exposure concentrations are monitored in summer (June 10 ∼ July 10, 2019) and winter (November 25 ∼ December 25, 2019). RESULTS: The exposure concentration in winter is higher than that in summer, with statistical difference (P <  0.05). Under the impact of PM2.5 microenvironment exposure, smoking in the elderly can increase the concentration of PM2.5, and long-term exposure to PM2.5 in the elderly can cause mental health problems. CONCLUSION: Long-term exposure of the elderly to the PM2.5 microenvironment leads to physical diseases and even psychological problems, which requires attention.


2021 ◽  
Author(s):  
Christopher Marshall ◽  
Kate Lanyi ◽  
Rhiannon Green ◽  
Georgie Wilkins ◽  
Fiona Pearson ◽  
...  

BACKGROUND There is increasing need to explore the value of soft-intelligence, leveraged using the latest artificial intelligence (AI) and natural language processing (NLP) techniques, as a source of analysed evidence to support public health research activity and decision-making. OBJECTIVE The aim of this study was to further explore the value of soft-intelligence analysed using AI through a case study, which examined a large collection of UK tweets relating to mental health during the COVID-19 pandemic. METHODS A search strategy comprising a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a specialist NLP platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. Qualitative document analysis was carried out to further explore and expand upon the results generated by the NLP platform. All collated tweets were anonymised RESULTS We identified and analysed 286,902 tweets posted from UK user accounts from 23 July 2020 to 6 January 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume and sentiment appeared to coincide with key changes to any local and/or national social-distancing measures. Tweets around mental health were polarising, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government. CONCLUSIONS Through the primary use of an AI-based NLP platform, we were able to rapidly mine and analyse emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analysed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.


2021 ◽  
Vol 17 ◽  
pp. 110-121
Author(s):  
Hadjicharalambous Demetris ◽  
Loucia Demetriou ◽  
Koulla Erotocritou

The onset of the infectious disease Covid19 originating in Wuhan, China, took over the world in December 2019 and was declared a pandemic in January 2020.  Empirical evidence resulting from relevant research illustrated that the effects of the pandemic itself but also of the strict measures to contain the spread of the virus on the mental health and well-being of affected populations were just as unanticipated as the pandemic itself. Data led to the identification of six idioms of distress: (1) Demoralization and pessimism towards the future, (2) anguish and stress, (3) self-depreciation, (4) social withdrawal and isolation, (5) somatization, (6) withdrawal into oneself. Our research explores the psychological impact of the Covid19 pandemic on college students and their quality of life. The study took place in Cyprus with 356 young participants, whereas 256 were female (72%) and 100 were male (28%). They all completed the General Health Questionnaire-28 and the Life Satisfaction Inventory (LSI). The present study's findings revealed that six factors, including residence without family, the deterioration of the financial situation of the family, the loss of employment, the deterioration of social relationships, young age, and gender, have significantly affected in a negative way the mental health and quality of life of young people. Research findings revealed that the strict lockdown and physical/social isolation measures had a significant adverse effect on our sample, whereas participants showed increased symptoms of anxiety and insomnia, social dysfunction, and somatization. Young adults who lost their jobs during the pandemic or had a significant decrease in their family income, and students who stayed away from their families, experienced a negative impact on their quality of life and had to cope with more mental health problems.


Author(s):  
S. Barber ◽  
P. C. Gronholm ◽  
S. Ahuja ◽  
N. Rüsch ◽  
G. Thornicroft

Abstract Aims This review aims to understand the scope of the literature regarding mental health-related microaggressions towards people affected by mental health problems. Methods A scoping review was conducted to explore this question. Four electronic health-oriented databases were searched alongside Google Scholar. As per scoping review principles, the inclusion criteria were developed iteratively. The results of included studies were synthesised using a basic narrative synthesis approach, utilising principles of thematic analysis and thematic synthesis where appropriate. Results A total of 1196 records were identified, of which 17 met inclusion criteria. Of these, 12 were peer-reviewed journal articles, three were research degree theses and two were book chapters. Six included empirical studies were qualitative, four were quantitative and two employed a mixed-methods design. Within these, five qualitative studies aimed to describe the nature of mental health microaggressions experienced by people with mental health problems. Themes identified in a thematic synthesis of these five studies included stereotypes about mental illness, invalidating peoples' experience and blaming people with mental illness for their condition. The included publications informed on the perpetration of mental health microaggressions by family, friends, health professionals and social workers. In addition, two studies created scales, which were then used in cross-sectional surveys of the general public and community members to assess characteristics, such as right-wing political views, associated with endorsement of mental health microaggressions. A consensus definition of microaggressions emerged from the included studies: microaggressions are brief, everyday slights, snubs or insults, that may be subtle or ambiguous, but communicate a negative message to a target person based on their membership of a marginalised group, in this case, people affected by mental illness. Conclusions The study of mental health microaggressions is an emerging, heterogeneous field, embedded in the wider stigma and discrimination literature. It has been influenced by earlier work on racial microaggressions. Both can be ambiguous and contradictory, which creates difficulty defining the boundaries of the concept, but also underpins the key theoretical basis for the negative impact of microaggressions. Mental illness is a more concealable potential type of identity, so it follows that the reported perpetrators of microaggressions are largely friends, family and professionals. This has implications for intervening to reduce the impact of microaggressions. There are several challenges facing research in this area, and further work is needed to understand the impact of mental health microaggressions on people affected by mental health problems.


2019 ◽  
Vol 65 (4) ◽  
pp. 338-344 ◽  
Author(s):  
Shailaja Bandla ◽  
NR Nappinnai ◽  
Srinivasagopalan Gopalasamy

Background: Floods are the most common type of natural disaster, which have a negative impact on mental health. Following floods, survivors are vulnerable to develop PTSD (post-traumatic stress disorder), depression, anxiety and other mental health problems. Aim: The aim is to study the psychiatric morbidity in the persons affected by floods during December 2015. Materials and methods: This study was carried out in Chennai and Cuddalore. In total, 223 persons who were directly exposed to floods were assessed. PTSD Checklist–Civilian Version, Beck’s Depression Inventory, Beck’s Anxiety Inventory and World Health Organization–Five Well-Being Scale (WHO-5) were used in the study. Chi-square test was used to compare the means. Results: Overall, psychiatric morbidity was found to be 45.29%; 60 (26.9%) persons had symptoms of PTSD. Anxiety was found in 48 (27.4%) and depression was found in 101 (45.29%) persons; and 11 (4.9%) persons have reported an increase in substance abuse. Conclusion: Following disaster like floods, there is a need for better preparedness in terms of basic necessities and medical and psychological assistance, particularly emphasizing the needs of older persons in order to prevent the development of psychiatric problems.


2020 ◽  
Vol 42 (5) ◽  
pp. 421-427 ◽  
Author(s):  
Viswa Chaitanya Chandu ◽  
Yamuna Marella ◽  
Gnana Sarita Panga ◽  
Srinivas Pachava ◽  
Viswanath Vadapalli

Background: The coronavirus disease (COVID-19) pandemic, associated with the economic consequences of non-pharmaceutical interventions such as lockdown, has led to mental health consequences among people worldwide. Protecting the mental well-being of populations is an imperative component of fighting the COVID-19 pandemic. This scoping review attempts to present an overview of the existing tools to measure COVID-19-related mental health problems. Methods: Literature search was conducted in the PubMed electronic database using developed key search terms. Reference lists of the identified eligible articles were reviewed to locate relevant articles missed from the electronic database search. Fifteen scales measuring COVID-19-associated mental health problems, validated among diverse populations across the world, were included in this review. Results: The majority of these scales were validated among middle-aged adults in Turkey. Only a few validated scales encompass the negative socioeconomic consequences of COVID-19. None of the available scales focused on the aspects of suicidal ideation or behavioral responses/coping strategies, neither were they inclusive of participants from diverse age, geographic, and COVID-19 exposure groups. Conclusion: This scoping review highlights the need for future research to develop and validate comprehensive psychometric tools to assess COVID-19-associated mental health problems. Also, in view of the vulnerable nature of healthcare professionals for developing mental health concerns in the course of providing services for COVID-19-affected individuals, future psychometric research needs to concentrate on the development of measures specific for these professionals.


BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e027289 ◽  
Author(s):  
Amy Mizen ◽  
Jiao Song ◽  
Richard Fry ◽  
Ashley Akbari ◽  
Damon Berridge ◽  
...  

IntroductionStudies suggest that access and exposure to green-blue spaces (GBS) have beneficial impacts on mental health. However, the evidence base is limited with respect to longitudinal studies. The main aim of this longitudinal, population-wide, record-linked natural experiment, is to model the daily lived experience by linking GBS accessibility indices, residential GBS exposure and health data; to enable quantification of the impact of GBS on well-being and common mental health disorders, for a national population.Methods and analysisThis research will estimate the impact of neighbourhood GBS access, GBS exposure and visits to GBS on the risk of common mental health conditions and the opportunity for promoting subjective well-being (SWB); both key priorities for public health. We will use a Geographic Information System (GIS) to create quarterly household GBS accessibility indices and GBS exposure using digital map and satellite data for 1.4 million homes in Wales, UK (2008–2018). We will link the GBS accessibility indices and GBS exposures to individual-level mental health outcomes for 1.7 million people with general practitioner (GP) data and data from the National Survey for Wales (n=~12 000) on well-being in the Secure Anonymised Information Linkage (SAIL) Databank. We will examine if these associations are modified by multiple sociophysical variables, migration and socioeconomic disadvantage. Subgroup analyses will examine associations by different types of GBS. This longitudinal study will be augmented by cross-sectional research using survey data on self-reported visits to GBS and SWB.Ethics and disseminationAll data will be anonymised and linked within the privacy protecting SAIL Databank. We will be using anonymised data and therefore we are exempt from National Research Ethics Committee (NREC). An Information Governance Review Panel (IGRP) application (Project ID: 0562) to link these data has been approved.The research programme will be undertaken in close collaboration with public/patient involvement groups. A multistrategy programme of dissemination is planned with the academic community, policy-makers, practitioners and the public.


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